文件名称:PCA_for_3_component_compound
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 724kb
- 下载次数：
- 0次
- 提 供 者：
- 马**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
该程序旨在模拟处理分析多种化学物质混合物的吸收光谱数据，提取出各个化学成分的峰值所在。该程序采用svd方法对光谱数据的协方差矩阵进行PCA分析，并且取得令人满意的效果。-The program designed to simulate the processing and analysis of multiple chemical mixtures of the absorption spectra of the data, extracting the chemical composition of each peak is located. The program uses svd method for spectral data, the covariance matrix PCA analysis, and achieve satisfactory results.
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下载文件列表
PCA for 3 component compound\1.fig
............................\2.fig
............................\3.fig
............................\4.fig
............................\5.fig
............................\assign1.asv
............................\Assign1.doc
............................\assign1.fig
............................\do_svd.asv
............................\do_svd.m
............................\Executive Summary.docx
............................\meancentertest.jpg
............................\PCA report.doc
............................\PCA_3vectors.bmp
............................\PCA_3vectors.fig
............................\PCA_3vectors_and_mean_noise_high.jpg
............................\PCA_3vectors_and_mean_noise_high_overlapped.jpg
............................\PCA_3vectors_and_mean_noise_med.jpg
............................\PCA_3vectors_and_mean_noise_med_overlapped.jpg
............................\PCA_3vectors_and_mean_noise_small.jpg
............................\PCA_3vectors_and_mean_noise_small_overlapped.jpg
............................\PCA_3vectors_with_mean.bmp
............................\randn_gen3.asv
............................\randn_gen3.m
............................\random_test.asv
............................\random_test.m
............................\Re Assign1.files\colorschememapping.xml
............................\................\filelist.xml
............................\................\image001.jpg
............................\................\themedata.thmx
............................\Re Assign1.htm
............................\try1.m
............................\Re Assign1.files
PCA for 3 component compound
............................\2.fig
............................\3.fig
............................\4.fig
............................\5.fig
............................\assign1.asv
............................\Assign1.doc
............................\assign1.fig
............................\do_svd.asv
............................\do_svd.m
............................\Executive Summary.docx
............................\meancentertest.jpg
............................\PCA report.doc
............................\PCA_3vectors.bmp
............................\PCA_3vectors.fig
............................\PCA_3vectors_and_mean_noise_high.jpg
............................\PCA_3vectors_and_mean_noise_high_overlapped.jpg
............................\PCA_3vectors_and_mean_noise_med.jpg
............................\PCA_3vectors_and_mean_noise_med_overlapped.jpg
............................\PCA_3vectors_and_mean_noise_small.jpg
............................\PCA_3vectors_and_mean_noise_small_overlapped.jpg
............................\PCA_3vectors_with_mean.bmp
............................\randn_gen3.asv
............................\randn_gen3.m
............................\random_test.asv
............................\random_test.m
............................\Re Assign1.files\colorschememapping.xml
............................\................\filelist.xml
............................\................\image001.jpg
............................\................\themedata.thmx
............................\Re Assign1.htm
............................\try1.m
............................\Re Assign1.files
PCA for 3 component compound